Distributed video coding (DVC) is a new video coding paradigm based upon two
fundamental theoretical results: the Slepian–Wolf and Wyner–Ziv theorems. Among other
benefits, this new coding paradigm may allow a flexible complexity allocation between the
encoder and the decoder. Several DVC codecs have been developed over the years
addressing the specific requirements of emerging applications such as wireless video
surveillance and sensor networks. While state-of-the-art DVC codecs, such as the DISCOVER
DVC codec, have shown promising RD performance, most DVC codecs in the
literature do not consider low delay requirements which are relevant for some of the
addressed applications. In this context, the main objective and novelty of this paper is to
propose an efficient, low delay and fully practical DVC codec based on the Stanford DVC
architecture adopting a side information iterative refinement approach. The obtained
performance results show that the developed DVC solution fulfils the objectives regarding
relevant benchmarks, notably due to the novel side information creation and correlation
noise modeling tools integrated in a side information iterative refinement framework.